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Downlink Power Control for Femtocell Networks

Cao, F; Fan, Z

Authors

F Cao

Z Fan



Abstract

Deploying femtocell networks achieves great spatial reuse at the price of severe interference from concurrent transmissions. To mitigate the downlink interference from femtocell base stations (FBSs) to nearby macrocell users (MUEs), power control is employed to enable FBSs to dynamically reconfigure their power allocation based on information obtained from information exchange between macrocell and femtocells. However, lack of direct coordination between macrocell and femtocell networks makes cognitive radio (CR) a promising solution to interference management of two-tier networks. In this paper we address the problem of power control in the two-tier network and propose an optimal CR-based power control scheme. Equipped with the ability of spectrum sensing, FBSs can obtain necessary information such as the downlink radio resource usage of macrocell and information about nearby MUEs. Then FBSs are able to allocate transmit power on each channel efficiently to maximize system capacity with a per-tier outage constraint satisfied. Finally the effectiveness of the proposed scheme is verified by system level simulation.

Citation

Cao, F., & Fan, Z. (2013, June). Downlink Power Control for Femtocell Networks. Paper presented at 2013 IEEE 77th Vehicular Technology Conference (VTC Spring), Dresden, Germany

Presentation Conference Type Conference Paper (unpublished)
Conference Name 2013 IEEE 77th Vehicular Technology Conference (VTC Spring)
Start Date Jun 2, 2013
End Date Jun 5, 2013
Acceptance Date Jun 2, 2013
Online Publication Date Jan 2, 2014
Publication Date Jan 2, 2014
Deposit Date Jun 15, 2023
Journal IEEE Conference on Vehicular Technology (VTC)
Print ISSN 1550-2252
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1109/VTCSpring.2013.6692518
Public URL https://keele-repository.worktribe.com/output/462373
Publisher URL https://ieeexplore.ieee.org/document/6692518